Databases

Building Resilient GraphQL Apps and Scaling Them to 1M Subscriptions
January 26, 2021
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DatabasesDistributed SQLGraphQLKubernetes

Building Resilient GraphQL Apps and Scaling Them to 1M Subscriptions

GraphQL provides a query language for APIs, giving UX developers autonomy over querying APIs and the database.

The advantages of using GraphQL for UX applications are well understood. GraphQL clients can retrieve only the data needed in the UI application. GraphQL provides a strong type system that avoids manual code parsing and data filtering that takes up precious processing cycles when rendering the UI to users. Additionally, GraphQL increases UX development’s velocity, and the feedback cycles needed for designing API responses are minimized.

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Distributed SQL Summit Recap: Cloud Native Spring for Relational Databases
January 15, 2021
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DatabasesDistributed SQLSpring

Distributed SQL Summit Recap: Cloud Native Spring for Relational Databases

Editor’s note: Below is the final recap from last year’s event. There’s still time to join us live for the upcoming Distributed SQL Summit, Jan 20-22 in India Standard Time.

At the Distributed SQL Summit 2020, DaShaun Carter, formerly a Tanzu Solution Engineer at VMware presented the talk, “Cloud Native Spring for Relational Databases”.

In the talk, DaShaun takes us down about a possible path to distributed SQL,

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Distributed SQL Summit Recap: The Future of Data Infrastructure, A Telco Roundtable
January 14, 2021
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DatabasesDistributed SQLKubernetes

Distributed SQL Summit Recap: The Future of Data Infrastructure, A Telco Roundtable

At the Distributed SQL Summit 2020, leaders and architects from notable enterprises in the telco industry joined us for a panel to discuss the future of software development, including important trends such as IoT, 5G, Edge, cloud, and their impact on data infrastructure. Our panelists included Puneet Devadiga from Rakuten Mobile, Hale Donertasli from Rakuten Mobile, Kartik Rallapalli from TracFone Wireless, and James Taylor from Comcast; the panel was moderated by Yugabyte’s head of Data Engineering,

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Distributed SQL Summit Recap: Mastercard’s Cloud Native Journey to Distributed Databases
December 29, 2020
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DatabasesDistributed SQLHow To

Distributed SQL Summit Recap: Mastercard’s Cloud Native Journey to Distributed Databases

At the Distributed SQL Summit 2020, Ken Owens – Vice President, Cloud Native Engineering, Mastercard, presented the talk, “The Data Divide: An End User’s Cloud Native Journey to Distributed Databases.”

Because Ken has been working at the intersection of technology and financial services for more than 20 years, he brings a unique perspective to how cloud native and distributed systems can transform, what from the outside may appear to be a slow moving industry,

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The Planned 2021 YugabyteDB Roadmap
December 22, 2020
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Community NewsDatabasesDistributed SQLOpen Source

The Planned 2021 YugabyteDB Roadmap

Our mission at Yugabyte is to build the default distributed SQL database for cloud native applications in a multi cloud world. We recently announced the general availability of Yugabyte 2.5, which brought new features like Geo-Partitioning and Enterprise-Grade security features in addition to major enhancements in multi-region deployments and performance – while also improving on high availability, horizontal scalability, and ease of managing the database. The Yugabyte team is currently working on even more exciting features,

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What’s New in YugabyteDB Docs – December 2020
December 14, 2020
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Community NewsDatabasesDistributed SQLHow ToOpen Source

What’s New in YugabyteDB Docs – December 2020

Welcome to this latest post on what’s new and improved in YugabyteDB Docs! We’re continually adding to and updating the documentation to give you the information you need to make the most out of YugabyteDB.

As a reminder, YugabyteDB provides two distributed SQL APIs:

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A Migration Journey from Amazon DynamoDB to YugabyteDB and Hasura
December 4, 2020
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Amazon DynamoDBDistributed SQLGraphQLHow To

A Migration Journey from Amazon DynamoDB to YugabyteDB and Hasura

At the Distributed SQL Summit 2020, Tobias Meixner – CTO & Co-Founder at BRIKL, presented the talk, “A Migration Journey from Amazon DynamoDB to YugabyteDB and Hasura.”

Switching databases is painful, even more so when going from NoSQL to SQL. In this talk Tobias gave us insights into BRIKL’s two key elements of their migration path. First, migrating from Apollo Server and Amazon DynamoDB over to Hasura and YugabyteDB.

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Justuno’s Database Journey from Ground to Cloud
December 2, 2020
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CustomersDatabasesDistributed SQLGoogle Cloud Platform

Justuno’s Database Journey from Ground to Cloud

At a recent Distributed SQL Summit, Travis Logan – CTO & Co-Founder at Justuno, presented the talk, “Evolve: A Database Journey from Ground to Cloud.”

With over 14 years of experience with Microsoft SQL Server, Travis is well-versed in the evolution of transactional databases. In this talk he summarizes his experiences with traditional RDBMS while trying to improve their redundancy, scaling characteristics, and performance.

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Using PostgreSQL Aggregate Functions in YugabyteDB to Analyze COVID-19 Data
December 1, 2020
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DatabasesDistributed SQLHow ToPostgreSQL

Using PostgreSQL Aggregate Functions in YugabyteDB to Analyze COVID-19 Data

YugabyteDB is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. YugabyteDB uses its own special distributed document store called DocDB. But it provides SQL and stored procedure functionality by re-using the “upper half” of the standard PostgreSQL source code. This is explained in the two part blog post “Distributed PostgreSQL on a Google Spanner Architecture”: (1) Storage Layer; and (2) Query Layer.

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Distributed SQL Summit Recap: How Admiral Scales Globally and Achieves Single Digit Latency
November 23, 2020
By
CockroachDBDatabasesDistributed SQLGoogle Cloud PlatformMongoDB

Distributed SQL Summit Recap: How Admiral Scales Globally and Achieves Single Digit Latency

At the Distributed SQL Summit 2020, James Hartig – Co-Founder at Admiral, presented the talk “How Admiral Scales Globally with YugabyteDB on Google Cloud While Maintaining Single-Digit Latency.”

Admiral’s Go application runs in Google Cloud across 5 regions in 3 continents. This geo-distributed architecture is powered by a single YugabyteDB cluster that delivers an average global read latency of 3ms! In this talk,

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